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Reliable biochemical methane potential testing: insights and recommendations from global interlaboratory study.

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Improving biochemical methane potential (BMP) measurements requires standardized methods. Interlaboratory reproducibility improved after data review and troubleshooting, but accuracy issues persisted, highlighting the need for established guidelines.

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Area of Science:

  • Anaerobic digestion and bioenergy research.
  • Environmental science and sustainable energy.

Background:

  • Biochemical methane potential (BMP) assays are crucial for evaluating biogas production from organic substrates.
  • Variability in BMP measurement quality across laboratories can hinder reliable data interpretation and technology adoption.

Purpose of the Study:

  • To assess and improve the quality and reproducibility of BMP measurements across a wide range of laboratories.
  • To identify sources of error and evaluate the effectiveness of interventions in enhancing measurement accuracy.

Main Methods:

  • Thirty-one laboratories performed BMP measurements on six substrates using their standard procedures.
  • Reproducibility and repeatability were assessed, with a subset of laboratories acting as "reference" for accuracy comparison.
  • Interventions included data analysis, troubleshooting meetings, and method modifications for "evaluation" laboratories.

Main Results:

  • Initial interlaboratory reproducibility was poor (21-33% RSD) for evaluation laboratories, improving to 9-19% after interventions.
  • Reference laboratories demonstrated better reproducibility (5-12% RSD) and repeatability (2-4% RSD).
  • Evaluation laboratories showed a persistent negative bias (5-16%) compared to reference labs; visual screening of methane curves helped identify extreme values.

Conclusions:

  • Consistently accurate BMP measurements are achievable with adherence to established guidelines and development of laboratory experience.
  • While reproducibility can be improved through troubleshooting and data review, persistent accuracy issues suggest deeper methodological challenges.
  • Standardization and rigorous quality control, including visual inspection of production curves, are essential for reliable BMP data.